# National Remote Sensing Centre (NRSC)

**Canonical:** https://apis.io/providers/national-remote-sensing-centre-nrsc/  
**Website:** http://www.nrsc.gov.in  
**APIs profiled:** 0

The National Remote Sensing Centre (NRSC) of the Government of India provides satellite‑derived data products, thematic maps, and geospatial services. It offers data dissemination, archived data orders, Bhuvan and NICES services, aerial data management, and satellite ground‑station support to government agencies, researchers, and other users for applications such as agriculture, disaster management, forestry, land‑use, water resources, and urban planning.

## Kin Score — 5.8 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (matched via fallback).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **National Remote Sensing Centre Nrsc Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Remote Sensing, Geospatial Data, Satellite Services, Disaster Management, Agriculture, Land Use, Water Resources, Urban Planning

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/national-remote-sensing-centre-nrsc/). Scores are computed from the provider's own public artifacts under a published rubric.